R for the Rest of Us (No Starch Press)
Monday, 08 July 2024

This book looks at how to use R for everything from workload automation and creating online reports, to interpreting data to map making. Written by David Keyes, founder of a popular online training platform for R, the book offers a simple way in for users who just want to automate repetitive tasks or visualize data, without the need for complex math.

<ASIN:1718503326 >

The book starts with a crash course in R, has a quick tour of the RStudio programming environment, and a collection of real-word applications designed for users who have never written a line of R code.

Author: David Keyes
Publisher: No Starch Press
Date: June 2024
Pages: 256
ISBN: 978-1718503328
Print: 1718503326
Kindle: B0CD3GV46N
Audience: Beginners interested in R
Level: Introductory
Category: Data Science

Topics include:

  • Manipulate, clean, and parse your data with tidyverse packages like dplyr and tidyr to make data science operations more user-friendly
  • Create stunning and customized plots, graphs, and charts with ggplot2 to effectively communicate your data insights
  • Import geospatial data and write code to produce visually appealing maps automatically
  • Generate dynamic reports, presentations, and interactive websites with R Markdown and Quarto that seamlessly integrate code, text, and graphics
  • Develop custom functions and packages tailored to your specific needs, allowing you to extend R’s functionality and automate complex tasks

For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

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Author: Bob Ward
Publisher: Apress
Pages: 506
ISBN: 978-1484288931
Print:1484288939
Kindle: B0BLB4VJL9
Audience: DBAs & SQL devs
Rating: 5
Reviewer: Ian Stirk

This book aims to explain the new features in SQL Server 2022, how does it fare?


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